BATCAVE: calling somatic mutations with a tumor- and site-specific prior

Volume: 2, Issue: 1
Published: Feb 6, 2020
Abstract
Detecting somatic mutations withins tumors is key to understanding treatment resistance, patient prognosis and tumor evolution. Mutations at low allelic frequency, those present in only a small portion of tumor cells, are particularly difficult to detect. Many algorithms have been developed to detect such mutations, but none models a key aspect of tumor biology. Namely, every tumor has its own profile of mutation types that it tends to generate....
Paper Details
Title
BATCAVE: calling somatic mutations with a tumor- and site-specific prior
Published Date
Feb 6, 2020
Volume
2
Issue
1
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